Uploaded March 2026 | Updated September 2026, 2 weeks ago

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Build a ReAct AI agent from scratch in this hands-on session using LangGraph and MiniMax-M2.5. Learn how modern AI agents reason, act, and use tools through the ReAct loop (Reason → Act → Observe), and see how agent frameworks orchestrate multi-step tasks.

What we’ll cover:

- Building a ReAct AI agent with LangGraph
- The Reason → Act → Observe agent loop
- Tool integration and structured tool execution
- Managing state and context across steps
- Creating a simple TODO planner and virtual file system
- Design patterns for building reliable AI agents

By the end of the session, you’ll have a working AI agent built from scratch and a clear understanding of modern agent architectures.

#AgenticAI #AIAgents #LangGraph #ReActArchitecture #sambanova

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